Laura Haas has been given the 2019 IEEE Computer Society Pioneer Award “for significant contributions to early concepts and developments in the electronic computer field that have clearly advanced the state of the art in computing. [Details]
Ryan McKenna has recently won fourth place and a $3,000 prize in the National Institute of Standards and Technology’s (NIST) second match in the Differential Privacy Synthetic Data Challenge. The competition tests participants’ ability to identify and develop practical methods for creating differentially private synthetic data sets. The challenges include […]
Xiaolan Wang got two papers accepted on her dissertation work. MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps (ICDE 2019) Xiaolan Wang, Luna Dong, Alexandra Meliou, Yang Li Explain3D: Explaining Disagreements in Disjoint Datasets (PVLDB 2019) Xiaolan Wang, Alexandra Meliou
The National Institute of Standards and Technology’s (NIST) Public Safety Communications Research (PSCR) Division is proud to announce the winners of the first of three matches in the Differential Privacy Synthetic Data Challenge. This initiative is the first of its kind in differential privacy and offers a unique opportunity to […]
Alexandra Meliou and Yuriy Brun have received a grant from the National Science Foundation to study how software systems can exhibit bias and how software engineers can develop fairer, more equitable systems. Read More
Alexandra Meliou was recognized as SIGMOD 2018 distinguished PC member and VLDB 2018 distinguished reviewer.
Liping Peng’s paper “Optimization for Active Learning-based Interactive Database Exploration” was accepted to VLDB 2019. Authors: Enhui Huang, Liping Peng, Luciano Di Palma, Ahmed Abdelkafi, Anna Liu, Yanlei Diao.
Ryan McKenna’s paper “Optimizing error of high-dimensional statistical queries under differential privacy” was accepted to VLDB 2018. Xiaolan Wang’s paper “Scalable Semantic Querying of Text” was accepted to VLDB 2018. Authors: Xiaolan Wang, Aaron Feng, Behzad Golshan, Alon Halevy, George Mihaila, Hidekazu Oiwa, Wang-Chiew Tan.
Xiaolan Wang’s paper “Explaining Data Integration” was accepted to IEEE Data Engineering Bulletin 2018. Authors: Xiaolan Wang, Laura Haas, Alexandra Meliou.
Peter Haas‘s paper “Temporally-Biased Sampling for Online Model Management” has been selected as the best paper of EDBT 2018!